F. Desprez, G. S. Markomanolis, M. Quinson, and F. Suter, Assessing the Performance of MPI Applications through Time-Independent Trace Replay, 2011 40th International Conference on Parallel Processing Workshops, p.467476, 2011.
DOI : 10.1109/ICPPW.2011.33

URL : https://hal.archives-ouvertes.fr/inria-00546992

F. Desprez, G. S. Markomanolis, and F. Suter, Improving the accuracy and eciency of time-independent trace replay, SC Workshops, 2012.

H. Casanova, A. Legrand, and M. Quinson, SimGrid: A Generic Framework for Large-Scale Distributed Experiments, Tenth International Conference on Computer Modeling and Simulation (uksim 2008), 2008.
DOI : 10.1109/UKSIM.2008.28

URL : https://hal.archives-ouvertes.fr/inria-00260697

S. Browne, J. Dongarra, N. Garner, G. Ho, and P. Mucci, A Portable Programming Interface for Performance Evaluation on Modern Processors, International Journal of High Performance Computing Applications, vol.14, issue.3, p.189204, 2000.
DOI : 10.1177/109434200001400303

R. Kufrin, Perfsuite: An Accessible, Open Source Performance Analysis Environment for Linux, Proceedings of the 6th International Conference on Linux Clusters: The HPC Revolution 2005 (LCI-05), Chapel Hill, NC, 2005.

J. Vetter and M. Mccracken, Statistical Scalability Analysis of Communication Operations in Distributed Applications, Proccedings of the 2001 ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPOPP'01), p.123132, 2001.

A. Chan, W. Gropp, and E. Lusk, User's Guide for MPE: Extensions for MPI Programs, 1998.

A. Chan, W. Gropp, and E. Lusk, An Ecient Format for Nearly Constant- Time Access to Arbitrary Time Intervals in Large Trace Files, Scientic Programming, p.155165, 2008.

N. J. Wright, S. Smallen, C. M. Olschanowsky, J. Hayes, and A. Snavely, Measuring and Understanding Variation in Benchmark Performance, 2009 DoD High Performance Computing Modernization Program Users Group Conference, p.438443, 2009.
DOI : 10.1109/HPCMP-UGC.2009.72

M. Geimer, F. Wolf, B. Wylie, and B. Mohr, A scalable tool architecture for diagnosing wait states in massively parallel applications, Parallel Computing, vol.35, issue.7, pp.375-388, 2009.
DOI : 10.1016/j.parco.2009.02.003

S. Shende and A. Malony, The Tau Parallel Performance System, International Journal of High Performance Computing Applications, vol.20, issue.2, p.287311, 2006.
DOI : 10.1177/1094342006064482

A. Knüpfer, H. Brunst, J. Doleschal, M. Jurenz, M. Lieber et al., The Vampir Performance Analysis Tool-Set
DOI : 10.1007/978-3-540-68564-7_9

S. Dieter-an-mey, C. Biersdor, K. Bischof, D. Diethelm, M. Eschweiler et al., Score-PA unied performance measurement system for petascale applications, Proc. of the CiHPC: Competence in High Performance Computing , HPC Status Konferenz der Gauÿ-Allianz e.V, p.112

M. Pettersson, Perfctr: the Linux Performance Monitoring Counters Driver

M. Geimer, F. Wolf, A. Knüpfer, B. Mohr, and B. J. Wylie, A Parallel Trace-Data Interface for Scalable Performance Analysis, Proceedings of the 8th international conference on Applied parallel computing: state of the art in scientic computing, PARA'06, p.398408, 2007.
DOI : 10.1007/978-3-540-75755-9_49

F. Nagel and . Wolf, Open trace format 2 -the next generation of scalable trace formats and support libraries, Proc. of the Intl. Conference on Parallel Computing (ParCo), 2011.

F. Wolf and B. Mohr, EPILOG binary trace-data format, Zentralinstitut für Angewandte Mathematik, Forschungszentrum Jülich. FZJ-ZAM, 2004.

A. Malony and W. Nagel, Open trace---The open trace format (OTF) and open tracing for HPC, Proceedings of the 2006 ACM/IEEE conference on Supercomputing , SC '06, 2006.
DOI : 10.1145/1188455.1188480

R. N°-437 and R. Centre-grenoble-?-rhône-alpes, Inovallée 655 avenue de l'Europe Montbonnot 38334 Saint Ismier Cedex Publisher Inria Domaine de Voluceau -Rocquencourt BP 105 -78153 Le Chesnay Cedex inria